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基于機器視覺(jué)的公鐵聯(lián)運車(chē)導引落軌檢測系統
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西南交通大學(xué)機械工程學(xué)院

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Guiding wheel dropped detection system for rail-road vehicle based on machine vision
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    摘要:

    為了解決目前公鐵聯(lián)運車(chē)落軌時(shí)需要人工輔助,效率較低的問(wèn)題,基于機器視覺(jué)技術(shù),設計并實(shí)現了公鐵聯(lián)運車(chē)導引落軌檢測系統。系統利用安裝在轉向架附近車(chē)架下的攝像頭獲取車(chē)輛與鋼軌的圖像信息,采用邊緣檢測和Hough變換結合的算法來(lái)檢測地面標志線(xiàn)與車(chē)輛鋼輪的相對位置,計算出車(chē)輛鋼輪與鋼軌之間的偏移距離和角度。測量結果通過(guò)工業(yè)無(wú)線(xiàn)網(wǎng)絡(luò )傳送到駕駛室里的平板顯示器上,輔助司機調整車(chē)輛位置完成精準落軌。現場(chǎng)試驗表明:導引落軌檢測系統能夠實(shí)時(shí)有效測量鋼軌與鋼輪的距離,檢測誤差不超過(guò)±3mm,且結果更新時(shí)間低于200ms,滿(mǎn)足轉向架落軌精度和實(shí)時(shí)性要求。

    Abstract:

    In order to solve the problem that current dropping the steel wheel of rail-road vehicle needs manual assistance and the efficiency is low, a guiding wheel dropped detection system for rail-road vehicle was designed and implemented based on machine vision. The system made use of the camera mounted near the bogie to obtain the image information of the vehicle and the rail, and combined the algorithms of the Edge detection and Hough transform to detect the relative position of the ground marking line and the steel wheel of the vehicle,accordingly to calculate the distance and angle between the rail and the steel wheel of the vehicle finally. The measurement results were transmitted to the flat-panel monitor. in the cab through the industrial wireless network to assist the driver adjusting the position of the vehicle to complete the accurate landing. Experiments show that the system can effectively measure the distance between the rail and the steel wheel in real time. The measurement error is less than ±3mm, and the update time of the result is less than 200ms, which meets the requirements of the accuracy and real-time of the bogie dropping.

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龐松,馬錦銳,王雪梅,倪文波.基于機器視覺(jué)的公鐵聯(lián)運車(chē)導引落軌檢測系統計算機測量與控制[J].,2021,29(5):54-58.

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  • 收稿日期:2020-10-19
  • 最后修改日期:2020-11-11
  • 錄用日期:2020-11-11
  • 在線(xiàn)發(fā)布日期: 2021-05-21
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